On the relationship between stature and anthropometric measurements of lumbar vertebrae
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On the relationship between stature and anthropometric measurements of lumbar vertebrae. / Klein, Anke; Nagel, Katrin; Gührs, Julian; Poodendaen, Chanasorn; Püschel, Klaus; Morlock, Michael M; Huber, Gerd.
In: SCI JUSTICE, Vol. 55, No. 6, 12.2015, p. 383-7.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - On the relationship between stature and anthropometric measurements of lumbar vertebrae
AU - Klein, Anke
AU - Nagel, Katrin
AU - Gührs, Julian
AU - Poodendaen, Chanasorn
AU - Püschel, Klaus
AU - Morlock, Michael M
AU - Huber, Gerd
N1 - Copyright © 2015 The Chartered Society of Forensic Sciences. Published by Elsevier Ireland Ltd. All rights reserved.
PY - 2015/12
Y1 - 2015/12
N2 - Stature estimation is important for identifying human remains. Analysis of body parts has become an important forensic tool during global operations in the context of cases in which human remains have been dismembered, mutilated or decomposed. However, unless almost the full skeleton or at least a long bone of the lower limb is available, accuracy is still limited to approximate body height. Especially with respect to single vertebral measurements, only a rough prediction is possible. Due to their complex geometry, vertebral measurements are possible at various locations. Nine locations have been considered in this study. Regression equations for stature estimation using lumbar vertebral geometry from computed tomography scans have been evaluated to identify the measurement which gives the most reliable body height estimation. The study group comprised a representative sample of a German metropolitan male population (42 autopsied individuals). Comparing the influence of various vertebral geometry measurements with body height resulted in a coefficient of correlation (R) of 0.19-0.53 and a 95% confidence interval (CI) of ± 11.6 up to ± 13.1cm. The largest correlation with a single vertebral measurement was achieved with the central height of the vertebral body of L2 as predictor; the standard error (SE) of the estimate was 5.9 cm. Using models from CT scans appeared superior to current invasive procedures that use direct measurements of the vertebral body, in terms of reproducibility and time efficiency. For fragmented non-skeletonized human bodies, height prediction based on an all-virtual model of the vertebrae is possible. However, the regression coefficient may be similar to classic caliper measurements that prove easier if skeletonized bones are available.
AB - Stature estimation is important for identifying human remains. Analysis of body parts has become an important forensic tool during global operations in the context of cases in which human remains have been dismembered, mutilated or decomposed. However, unless almost the full skeleton or at least a long bone of the lower limb is available, accuracy is still limited to approximate body height. Especially with respect to single vertebral measurements, only a rough prediction is possible. Due to their complex geometry, vertebral measurements are possible at various locations. Nine locations have been considered in this study. Regression equations for stature estimation using lumbar vertebral geometry from computed tomography scans have been evaluated to identify the measurement which gives the most reliable body height estimation. The study group comprised a representative sample of a German metropolitan male population (42 autopsied individuals). Comparing the influence of various vertebral geometry measurements with body height resulted in a coefficient of correlation (R) of 0.19-0.53 and a 95% confidence interval (CI) of ± 11.6 up to ± 13.1cm. The largest correlation with a single vertebral measurement was achieved with the central height of the vertebral body of L2 as predictor; the standard error (SE) of the estimate was 5.9 cm. Using models from CT scans appeared superior to current invasive procedures that use direct measurements of the vertebral body, in terms of reproducibility and time efficiency. For fragmented non-skeletonized human bodies, height prediction based on an all-virtual model of the vertebrae is possible. However, the regression coefficient may be similar to classic caliper measurements that prove easier if skeletonized bones are available.
U2 - 10.1016/j.scijus.2015.05.004
DO - 10.1016/j.scijus.2015.05.004
M3 - SCORING: Journal article
C2 - 26654071
VL - 55
SP - 383
EP - 387
JO - SCI JUSTICE
JF - SCI JUSTICE
SN - 1355-0306
IS - 6
ER -